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Empirical Modeling of Spatial Interdependence in Time-Series Cross-Sections

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Methoden der vergleichenden Politik- und Sozialwissenschaft

Abstract

Empirical analyses of spatial interdependence in the social sciences have until recently remained largely confined to specialized areas of applied economics (e.g., urban/regional, environmental, and real-estate economics) and sociology (i.e., network analysis). However, social-scientific interest in and applications of spatial modeling have burgeoned lately-including in comparative politics-due partly to advances in theory that imply interdependence and in methodology for addressing it, partly to global developments that have enhanced interconnectivity substantively, and thus the popular and scholarly perception of and attention to it, at all levels, from micro-/personal to macro-/international, and partly to advances in technology for obtaining and working with spatial data.

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Authors and Affiliations

  1. University of Michigan, Deustchland

    Robert J. Franzese Jr. (Associate Professor of Political Science)

  2. University of Illinois, Deustchland

    Jude C. Hays (Assistant Professor of Political Science)

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Susanne Pickel Gert Pickel Hans-Joachim Lauth Detlef Jahn

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© 2009 VS Verlag für Sozialwissenschaften | GWV Fachverlage GmbH, Wiesbaden

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Franzese, R.J., Hays, J.C. (2009). Empirical Modeling of Spatial Interdependence in Time-Series Cross-Sections. In: Pickel, S., Pickel, G., Lauth, HJ., Jahn, D. (eds) Methoden der vergleichenden Politik- und Sozialwissenschaft. VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-531-91826-6_12

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  • DOI: https://doi.org/10.1007/978-3-531-91826-6_12

  • Publisher Name: VS Verlag für Sozialwissenschaften

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